Verfügbarkeit: Nature-inspired optimization algorithms

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Bibliographische Detailangaben
Beteilige Person:	Yang, Xin-She 1965- (VerfasserIn)
Format:	Elektronisch E-Book
Sprache:	Englisch
Veröffentlicht:	Amsterdam ; Boston ; Heidelberg ; London ; New York ; Oxford ; Paris ; San Diego ; San Francsico ; Singapore ; Sydney ; Tokyo Elsevier 2014
Ausgabe:	First edition
Schriftenreihe:	Elsevier insights
Schlagwörter:	Algorithms Optimierung Algorithmus Bionik Evolutionärer Algorithmus Schwarmintelligenz Mathematical optimization Natur Electronic books
Links:	http://www.sciencedirect.com/science/book/9780124167438 http://www.sciencedirect.com/science/book/9780124167438
Umfang:	1 Online-Ressource (xii, 263 Seiten)
ISBN:	9780124167452 0124167454

Internformat

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Datensatz im Suchindex

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isbn	9780124167452 0124167454
language	English
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series2	Elsevier insights
spelling	Yang, Xin-She 1965- Verfasser (DE-588)1043733906 aut Nature-inspired optimization algorithms Xin-She Yang (School of Science and Technology Middlesex University London, London) First edition Amsterdam ; Boston ; Heidelberg ; London ; New York ; Oxford ; Paris ; San Diego ; San Francsico ; Singapore ; Sydney ; Tokyo Elsevier 2014 1 Online-Ressource (xii, 263 Seiten) txt rdacontent c rdamedia cr rdacarrier Elsevier insights Algorithms Optimierung gnd Algorithmus gnd Bionik gnd Evolutionärer Algorithmus gnd Schwarmintelligenz gnd Algorithms fast Mathematical optimization fast Mathematical optimization Natur (DE-588)4041358-5 gnd rswk-swf Optimierung (DE-588)4043664-0 gnd rswk-swf Algorithmus (DE-588)4001183-5 gnd rswk-swf Electronic books Algorithmus (DE-588)4001183-5 s Optimierung (DE-588)4043664-0 s Natur (DE-588)4041358-5 s 1\p DE-604 Erscheint auch als Druck-Ausgabe 978-0-12-416743-8 http://www.sciencedirect.com/science/book/9780124167438 Verlag Volltext 1\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk
spellingShingle	Yang, Xin-She 1965- Nature-inspired optimization algorithms Algorithms Optimierung gnd Algorithmus gnd Bionik gnd Evolutionärer Algorithmus gnd Schwarmintelligenz gnd Algorithms fast Mathematical optimization fast Mathematical optimization Natur (DE-588)4041358-5 gnd Optimierung (DE-588)4043664-0 gnd Algorithmus (DE-588)4001183-5 gnd
subject_GND	(DE-588)4041358-5 (DE-588)4043664-0 (DE-588)4001183-5
title	Nature-inspired optimization algorithms
title_auth	Nature-inspired optimization algorithms
title_exact_search	Nature-inspired optimization algorithms
title_full	Nature-inspired optimization algorithms Xin-She Yang (School of Science and Technology Middlesex University London, London)
title_fullStr	Nature-inspired optimization algorithms Xin-She Yang (School of Science and Technology Middlesex University London, London)
title_full_unstemmed	Nature-inspired optimization algorithms Xin-She Yang (School of Science and Technology Middlesex University London, London)
title_short	Nature-inspired optimization algorithms
title_sort	nature inspired optimization algorithms
topic	Algorithms Optimierung gnd Algorithmus gnd Bionik gnd Evolutionärer Algorithmus gnd Schwarmintelligenz gnd Algorithms fast Mathematical optimization fast Mathematical optimization Natur (DE-588)4041358-5 gnd Optimierung (DE-588)4043664-0 gnd Algorithmus (DE-588)4001183-5 gnd
topic_facet	Algorithms Optimierung Algorithmus Bionik Evolutionärer Algorithmus Schwarmintelligenz Mathematical optimization Natur
url	http://www.sciencedirect.com/science/book/9780124167438
work_keys_str_mv	AT yangxinshe natureinspiredoptimizationalgorithms

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